Rapid advances in laboratory instruments are redefining IT requirements for life science organizations. To more quickly and completely analyze the tremendous volumes of data produced by next-generation sequencing (NGS) and cryo-electron microscopy (cryo-EM) instruments, organizations are increasingly investing in additional super computing resources to crunch the larger data sets these instruments are generating on a daily basis.